Please use this identifier to cite or link to this item:
http://repositorio.ufla.br/jspui/handle/1/43267| metadata.artigo.dc.title: | Targeted adaptive isolation strategy for COVID-19 pandemic |
| metadata.artigo.dc.creator: | Neufeld, Zoltan Khataee, Hamid Czirok, Andras |
| metadata.artigo.dc.subject: | COVID-19 SIR Model |
| metadata.artigo.dc.date.issued: | 2020 |
| metadata.artigo.dc.identifier.citation: | NEUFELD, Z.; KHATAEE, H.; CZIROK, A. Targeted adaptive isolation strategy for COVID-19 pandemic. Infectious Disease Modelling, [S.l.], v. 5, p. 357-361, 2020. |
| metadata.artigo.dc.description.abstract: | We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population. |
| metadata.artigo.dc.identifier.uri: | https://www.sciencedirect.com/science/article/pii/S2468042720300142? http://repositorio.ufla.br/jspui/handle/1/43267 |
| metadata.artigo.dc.language: | en_US |
| Appears in Collections: | FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19) |
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